Lead Engineer, Data

This is a fully remote position, open to applicants in Illinois.

📋 Description

• Lead the integrated Risk Data and Risk AI Engineering organization, offering strategic guidance, accountability, and oversight across both teams.

• Oversee and nurture Managing Engineers while enhancing leadership capabilities and fortifying engineering talent.

• Convert TORC strategy into engineering roadmaps, delivery schedules, measurable objectives, and technical priorities.

• Guarantee the delivery of reliable, governed, analytics-ready risk data products, dashboards, reporting, automation features, and AI solutions integrated within risk workflows.

• Align data and AI strategies to ensure that AI functionalities are developed on dependable, high-quality, governed risk and control data.

• Establish technical direction across data engineering, analytics, AI engineering, automation, model evaluation, monitoring, and responsible AI methodologies.

• Promote engineering excellence through contemporary development practices, CI/CD, automated testing, observability, data quality controls, production support, and operational resilience.

• Define and uphold standards for data quality, governance, security, privacy, compliance, access controls, lineage, explainability, validation, and monitoring of model performance.

• Collaborate with product, risk, control, governance, security, platform, and technology teams to align priorities, manage dependencies, influence adoption, and achieve measurable business results.

• Provide senior engineering leadership for the Risk Data Team and Risk AI Engineering Team.

• Shape architecture and engineering methodologies and ensure strong ownership of production.

• Enhance risk insight and control efficacy, minimize manual efforts, and provide secure, scalable, trusted production capabilities.

⛳️ Requirements

• Extensive engineering leadership experience, including managing managers, senior engineers, and multiple delivery teams.

• Solid background in software engineering, data engineering, analytics engineering, AI engineering, or a related technical field.

• Proven track record in building, operating, and supporting scalable, production-ready technology products and platforms.

• Demonstrated ability to set technical direction and convert business strategy into actionable roadmaps, delivery priorities, and measurable results.

• Strong grasp of modern engineering practices, including CI/CD, automated testing, code quality, observability, production support, security, and resilience.

• Experience with data platforms, data pipelines, analytics products, reporting automation, governed data products, and AI-driven solutions.

• Knowledge of AI, machine learning, large language models, responsible AI, explainability, model evaluation, and AI-assisted workflow design.

• Strong stakeholder management capabilities with the ability to influence both technical and non-technical audiences across product, engineering, risk, governance, security, and leadership teams.

• Proven capacity to develop leaders, create high-performing teams, foster continuous improvement, and make sound architectural trade-offs among reliability, scalability, security, quality, and speed.

• Supervisory/people leadership experience is required.

• 10+ years of relevant experience is preferred.

• Familiarity with Microsoft Fabric, Power BI, lakehouse architectures, Python, SQL, cloud data platforms, or similar technologies is preferred.

• Experience in risk, control, compliance, audit, cybersecurity, technology operations, or other regulated environments is preferred.

• Candidates must undergo a background investigation.

• Allstate generally does not sponsor individuals for employment-based visas for this position.

• A dedicated, private home workspace that is free from distractions is required.

• Reliable internet connection with a minimum speed of 50 MB download and 5 MB upload is necessary.

🏝️ Benefits

• Comprehensive technology setup, which includes a laptop, monitors, headset, keyboard, and mouse.

• Monthly connectivity reimbursement for employees eligible to work from home.

• Remote work arrangement.

• Opportunities for professional growth and skills enhancement.

• Significant impact through supporting causes and protection services.